Teams

MCTA18/Bhamidipati/RHTC

Mixed Doubles 18 & Over · 18 & Over Mixed - 3.5

14 players · average NTRP 3.32 / SOUTH CAROLINA

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Schedule6 played
2026-07-09vs MCTA18/Moll/RHTCWon 30
W#1 DoublesDanny Vazquez / Abitha Begum Mohammed Sherfudeen vs Nancy Moll / Stephen Walz6-1, 6-3
W#2 DoublesScarlett Cochran / John Luney vs Philip Covington / Jackie Keefe7-5, 6-3
W#3 DoublesViktoriia Kologryva / Maksym Mikhart vs Paula Olive / Brian Ng6-0, 6-0
2026-07-02vs MCTA18/Moll/RHTCWon 30
W#1 DoublesJohn Luney / Alexis Cochran vs Robert Marlowe / Carrie Marlowe6-3, 6-2
W#2 DoublesSaurabh Bhaskar / Abitha Begum Mohammed Sherfudeen vs Paula Olive / Philip Covington6-2, 6-0
W#3 DoublesRongrong Wang / Mingyi Yin vs Brian Ng / Jackie Keefe6-3, 6-4
2026-06-25vs MCTA 3.5M 18 & Over (Pavkov)Won 30
W#1 DoublesJohn Luney / Alexis Cochran vs Naomi O'Brien / Rafael Balderrama6-3, 6-7, 1-0
W#2 DoublesSaurabh Bhaskar / Scarlett Cochran vs Nicole Badr / Ajay Bhingare6-3, 7-6
W#3 DoublesViktoriia Kologryva / Maksym Mikhart vs Timothy Pavkov / Lourdes Villamor6-0, 6-0
2026-06-04vs MCTA 3.5M 18 & Over (Pavkov)Lost 12
L#1 DoublesScarlett Cochran / Danny Vazquez vs Ali Sacopulos / Ajay Bhingare5-7, 3-6
L#2 DoublesViktoriia Kologryva / Maksym Mikhart vs Cynthia Hoover / John Hasty3-6, 3-6
W#3 DoublesAbitha Begum Mohammed Sherfudeen / Sumit Chopra vs Wenxian Xu / Frank Booc6-7, 6-4, 1-0
2026-05-29vs MCTA18/Moll/RHTCWon 30
W#1 DoublesAbitha Begum Mohammed Sherfudeen / Saurabh Bhaskar vs Nancy Moll / Robert Marlowe6-2, 6-2
W#2 DoublesOlya Banchik / Leon Banchik vs N/A6-0, 6-0
W#3 DoublesScarlett Cochran / Mingyi Yin vs Stephen Walz / Jackie Keefe6-0, 6-3
2026-05-17vs MCTA 3.5M 18 & Over (Pavkov)Lost 12
W#1 DoublesAbitha Begum Mohammed Sherfudeen / Sumit Chopra vs Wenxian Xu / Frank Booc4-6, 6-3, 1-0
L#2 DoublesOlya Banchik / Leon Banchik vs Nicole Badr / John Hasty3-6, 4-6
L#3 DoublesRongrong Wang / Mingyi Yin vs Ali Sacopulos / Sai Venky Ganduri0-6, 2-6
A tie can be incomplete. Tell us if someone is missing.
i
Grouped by tie — one fixture, several lines. A line shows only when a player on it is someone we have indexed, so an early-season tie for a newly-added team can look short. This also means the line count here will not match the header, which counts individual player appearances.

Flight standings for 18 & Over Mixed - 3.5 have not been collected yet. Where we have them we show every team in the flight ranked, with this team highlighted. The crawler is still filling in older seasons and flights.

ScoutingWhere each opponent usually plays

Signed-in extra: whether this captain plays strict strength order or mixes it up, from every doubles line they have put out. Create a free account to see it.

Roster averages 3.24 estimated across 13 rated players. No lineup is published in advance, so the column below is where each player has actually been used — a captain's habits are the best available forecast. Sign in and claim your record to see who you have played.

3.65
Maksym Mikhart
usually #3 Doubles 67%, also #2 Doubles 33% · published 3.5
3.52
Danny Vazquez
usually #1 Doubles 100% · published 3.5
3.34
Alexis Cochran
usually #1 Doubles 100% · published 3.5
3.29
Leon Banchik
usually #2 Doubles 100% · published 3.5
3.29
Abitha Begum Mohammed Sherfudeen
usually #1 Doubles 60%, also #3 Doubles 20% · published 3.5
3.29
Olya Banchik
usually #2 Doubles 100% · published 3.5
3.25
Rongrong Wang
usually #3 Doubles 100% · published 3
3.21
Viktoriia Kologryva
usually #3 Doubles 67%, also #2 Doubles 33% · published 3
3.16
Scarlett Cochran
usually #2 Doubles 50%, also #3 Doubles 25% · published 3.5
3.15
John Luney
usually #1 Doubles 67%, also #2 Doubles 33% · published
3.10
Mingyi Yin
usually #3 Doubles 100% · published 3
3.10
Saurabh Bhaskar
usually #2 Doubles 67%, also #1 Doubles 33% · published
2.76
Avani Bhamidipati
usually #1 Doubles 50%, also #2 Doubles 50% · published 3
Sumit Chopra
usually #3 Doubles 50%, also #1 Doubles 50% · published
Established pairs

Doubles pairs from this roster with three or more matches together anywhere — ordered by performance against what the rating gap predicted, not by record.

Olya Banchik + Leon Banchik8455% gamesnot enough data
Maksym Mikhart + Viktoriia Kologryva4266% gamesnot enough data
Roster

Ordered by our estimated dynamic rating, which is why two players at the same published level are not tied — a published 4.0 says nothing about where inside the band someone sits. Lines played in this team’s season are shown beside each name.

3.5
Maksym Mikhart
46W–13L career · 3 lines in 2026
<1%15%85%
3.65
3.5
Danny Vazquez
70W–48L career · 2 lines in 2026
<1%45%55%
3.52
3.5
Alexis Cochran
57W–34L career · 2 lines in 2026
1%86%13%
3.34
3.5
Leon Banchik
48W–30L career · 2 lines in 2026
2%91%7%
3.29
3.5
Abitha Begum Mohammed Sherfudeen
18W–18L career · 5 lines in 2026
2%91%7%
3.29
3.5
Olya Banchik
106W–57L career · 2 lines in 2026
2%92%6%
3.29
3
Rongrong Wang
34W–12L career · type S · 2 lines in 2026
<1%4%96%
3.25
3
Viktoriia Kologryva
40W–12L career · 3 lines in 2026
<1%6%94%
3.21
3.5
Scarlett Cochran
74W–61L career · type A · 4 lines in 2026
13%87%1%
3.16
John Luney
11W–4L career · 3 lines in 2026
<1%15%85%
3.15
3
Mingyi Yin
26W–16L career · 3 lines in 2026
<1%24%76%
3.10
Saurabh Bhaskar
6W–2L career · 3 lines in 2026
24%75%<1%
3.10
3
Avani Bhamidipati
32W–35L career · 2 lines in 2026
3%93%4%
2.76
Sumit Chopra
5W–1L career · 2 lines in 2026
not enough data

Three percentages are where each player stands right now: the chance they are below their band, inside it, or above it, on the way they are playing this season. The number on the right is our estimated dynamic rating, which USTA never publishes. This is today rather than a forecast of December, because a forecast has to assume future matches and cannot know whether someone will even be offered them. Percentages are blank where a player has too few matches this season, or at a level where the model does not yet beat a base-rate guess; the estimate is a weaker claim than a probability and survives where those do not.

Not affiliated with or endorsed by the USTA. Ratings labelled as published are USTA year-end figures; anything we describe as an estimate is ours, not USTA’s. Match data is from USTA TennisLink.